MemComposer: Learning to Assemble Memories for LLM Agents via Reinforcement Learning
arXiv:2610.21091v1 Announce Type: new Abstract: Agent memory enables large language model (LLM) agents to reuse past experiences without updating their parameters. However, semantic similarity alone does not guarantee memory usefulness:...
Read more: https://arxiv.org/abs/2610.21091
Scan with your phone
Scan with your phone